- Ayush Alag of The Harker School in San Jose, California, for the project “Computational DNA Methylation Analysis of Food Allergy Yields Novel 13-gene Signature to Diagnose Clinical Reactivity.”
- Anjali Chadha of duPont Manual Magnet High School in Louisville, Kentucky, for her project “Development of a Fully Automated 3D Printed IoT Sensor for Arsenic Detection in Groundwater.”
- Navami Jain of the North Carolina School of Science and Mathematics, for the project “Development of Integrated Ionic Liquid System for Simultaneous Pretreatment and Biomass Saccharification of Fermentable Sugars.”
- Aayush Karan of University School of Milwaukee in Wisconsin, for the project “Generating Set for Nonzero Determinant Links Under a Skein Relation.”
- Ananya Karthik of St. Francis High School in Mountain View, California, for the project “Ultrasonic Drug Uncaging from Polymeric Perfluoropentane Nanoparticles.”
- Preeti Krishnamani of Charter School of Wilmington in Delaware, for the project “Effects of Silicon Amendments on the Concentration and Adsorption Properties of Iron-Oxides in Rice Paddy Soils.”
- Chirag Kumar of Horace Greeley High School in Chappaqua, New York, for the project “A Machine Learning Approach to Estimating the Error in Satellite Sea Surface Temperature Measurements.”
- Varun Kumar of Bergen County Academies in Hackensack, New Jersey, for the project “Dihydrotanshinone: A Pan-Therapeutic Treatment for Chemoresistance in Cancer.”
- Eish Maheshwari of Herricks High School in New Hyde Park, New York, for the project “Design of a Red Blood Cell-Based Drug-Delivery Platform for Improving Curcumin Pharmacokinetics and Bioavailability via Reengineered Silica Nanoparticles.”
- Ronak Roy of Canyon Crest Academy in San Diego, California, for the project “Smartphone-Controlled Portable Phoropter Powered by Variable Focal Length Liquid Lens.”
- Eshika Saxena of Interlake High School in Bellevue, Washington, for the project “HemaCam: A Computer Vision-Enhanced Mobile Phone Imaging System for Automated Screening of Hematological Diseases with Convolutional Neural Networks.”
- Ruhi Sayana of The Harker School in San Jose, California, for the project “Precision Care for Leukemia: Discovery of Novel Therapeutics for High-Risk ALL via Epigenetic and Computational Transcriptome Profiling.”
- Aditi Singh of Horace Greeley High School in Chappaqua, New York, for the project “Descriptive and normative accounts of color localization performance in visual short-term memory.”
- Amol Singh of Lynbrook High School in San Jose, California, for the project “STAC-STIC: Novel Computational Pipeline to Generate Digital Super-Resolution Static Representations of Pathology Slides.”
- Madhav Subramanian of Jericho Senior High School in New York, for the project “ETM* is indispensable to endothelial behavior during tumor angiogenesis.”
The finalists will travel to Washington, D.C. from March 7 to 13, where they will undergo a scrupulous judging process and compete for more than $1.8 million in awards, according to a press release.
They will also have the opportunity to interact with leading scientists, meet with members of Congress and display their projects to the public at the National Geographic Society on March 10, the press release added.
The finalists are each awarded at least $25,000, and the top 10 awards, will be announced at a black-tie gala awards ceremony at the National Building Museum on March 12, range from $40,000 to $250,000.
The Regeneron Science Talent Search, earlier known as the Westinghouse Science Talent Search from 1942 to 1997 and the Intel Science Talent Search from 1998 to 2016, is one of the nation’s oldest and most prestigious science and math competitions for high school seniors and is designed to engage and inspire the next generation of scientific leaders.
Alumni have gone on to win the Nobel Prize, found successful companies and invent groundbreaking medical treatments, according to a joint news release from Regeneron and the Society.